Your English writing platform
Discover LudwigSuggestions(1)
Exact(1)
A non-linear constrained optimisation model for solving this problem is formulated, adopting a bi-level approach in order to reduce the complexity of solution methods and the computation times.
Similar(58)
We have seen that it is necessary to double-check the parameters to identify possible runaway solutions given the complexity of the solution space.
ANNs can be constructed by only a few examples, thus reducing the complexity of the solution, and can perform classification and assist in solution adaptation process.
where the parameter C controls the complexity of the solution.
However with growing number of the independent components, the complexity of the solution grows.
Neural networks can be constructed by only a few samples, thus reducing the complexity of the solution.
Unfortunately, due to the complexity of the solution, power flow minimization via Wiener filtering can only be used for extremely simple situations.
The paper reduces the complexity of the solution by first proposing efficient methods for the construction, the update, and the dimension reduction of the IDNC graph.
The paper reduces the complexity of the solution by first proposing efficient methods for the construction, the update, and the dimension reduction of the local IDNC graph.
The complexity of the solution is reduced by first proposing efficient methods for the construction, the update, and the dimension reduction of the IDNC graph.
Furthermore, a merge process combines neighboring ellipses with collinear major axes in order to reduce their number and consequently the complexity of the solution.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com